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A Continuous, Non-Invasive, Real-time Method for Estimating and Predicting Intracranial Hypertension

NCT01448681 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 32

Last updated 2019-09-30

No results posted yet for this study

Summary

There is statistically significant correlation between invasive measures of intracranial pressure (ICP) and non-invasive, real-time, continuous physiologic waveform data algorithms to predict ICP. Furthermore, characteristics within this physiologic waveform data will allow modeling for trend prediction of derived ICP information. Specific aims:

1. Develop models to estimate ICP and cerebral perfusion pressure (CPP) after traumatic brain injury in humans.
2. Predict and anticipate changes in ICP for preemptive management purposes.
3. Analyze characteristics of changes in ICP after treatment failure.
4. Analyze data to predict/anticipate confounding physiologic factors that affect ICP and its treatment.
5. Test the resulting models in real time.

Conditions

  • Intracranial Hypertension
  • Elevated ICP (Intracranial Pressure)

Interventions

OTHER

No Interventions

Sponsors & Collaborators

  • University of Colorado, Denver

    lead OTHER

Principal Investigators

  • Steven Moulton, MD · University of Colorado, Denver

Eligibility

Min Age
18 Years
Max Age
89 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2011-08-31
Primary Completion
2019-07-31
Completion
2019-07-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01448681 on ClinicalTrials.gov